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Showing results 1 to 8 of 8

1
Data cleaning for accurate, fair, and robust models: A big data - AI integration approach

Tae, Ki Hyun; Roh, Yuji; Oh, Young Hun; Kim, Hyunsu; Whang, Steven Euijong, 3rd Workshop on Data Management for End-To-End Machine Learning, DEEM 2019 - In conjunction with the 2019 ACM SIGMOD/PODS Conference, pp.5:1 - 5:4, Association for Computing Machinery, 2019-06-30

2
FairBatch: Batch Selection for Model Fairness

Roh, Yuji; Lee, Kangwook; Whang, Steven Euijong; Suh, Changho, 9th International Conference on Learning Representations, The International Conference on Learning Representations, 2021-05-05

3
FR-Train: A Mutual Information-Based Approach to Fair and Robust Training

Roh, Yuji; Lee, Kangwook; Whang, Steven Euijong; Suh, Changho, 37th International Conference on Machine Learning (ICML 2020), ICML, 2020-07-16

4
Improving Fair Training under Correlation Shifts

Roh, Yuji; Lee, Kangwook; Whang, Steven Euijong; Suh, Changho, International Conference on Machine Learning, ICML2023, International Machine Learning Society, 2023-07-25

5
Inspector Gadget: A Data Programming-based Labeling System for Industrial Images

Heo, Geon; Roh, Yuji; Hwang, Seonghyeon; Lee, Dayun; Whang, Steven Euijong, 47th International Conference on Very Large Data Bases (VLDB), VLDB Endowment, 2021-08-17

6
Machine Learning Robustness, Fairness, and their Convergence

Lee, Jae-Gil; Roh, Yuji; Song, Hwanjun; Whang, Steven Euijong, 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2021, pp.4046 - 4047, Association for Computing Machinery, 2021-08-14

7
Sample Selection for Fair and Robust Training

Roh, Yuji; Whang, Steven Euijong; Lee, Kangwook; Suh, Changho, 35th Conference on Neural Information Processing Systems (NeurIPS 2021), NeurIPS, 2021-12-09

8
The World is Changing: Improving Fair Training under Correlation Shifts

Roh, Yuji; Suh, Changho; Lee, Kangwook; Whang, Steven Euijong, International Conference on Learning Representations, ICLR 2023, International Conference on Learning Representation, 2023-05-02

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